Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses.
Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and servic...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 52; no. 9; pp. 4150 - 4164 |
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| Autores principales: | , , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158335371&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158335371 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Sep2022 vid: 52 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 158335371 152668531 158335371 158335371 10.1007/s10803-021-05269-1 158335371 ppf: 4150 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses. aug: au: Grosse, Scott D. Nichols, Phyllis Nyarko, Kwame Maenner, Matthew Danielson, Melissa L. Shea, Lindsay affil: National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 4770 Buford Highway NE, Mail Stop S106-4, 30341, Atlanta, GA, USA sug: subj: Autism Spectrum Disorder Algorithms Databases United States Health Services Research United States Insurance Coverage International Classification of Diseases Electronic Health Records ab: Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD. Researchers have employed varying strategies to identify individuals with ASD in administrative data. Differences in these strategies can limit the comparability of results across studies. This review describes implications of the varying strategies that have been employed to identify individuals with ASD in US claims databases, with consideration of the strengths and limitations of each approach. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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